Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation

Jan 16, 2021
Hamed Jelodar, Rita Orji, Stan Matwin, Swarna Weerasinghe, Oladapo Oyebode, Yongli Wang


  Access Paper or Ask Questions

Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning

Aug 28, 2020
Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, Jose F. Rodrigues-Jr, Jimeng Sun

* Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence 

  Access Paper or Ask Questions

COVID-19 Pandemic: Identifying Key Issues using Social Media and Natural Language Processing

Aug 23, 2020
Oladapo Oyebode, Chinenye Ndulue, Dinesh Mulchandani, Banuchitra Suruliraj, Ashfaq Adib, Fidelia Anulika Orji, Evangelos Milios, Stan Matwin, Rita Orji

* 12 pages, 7 figures, 3 tables 

  Access Paper or Ask Questions

SemEval-2020 Task 5: Counterfactual Recognition

Aug 02, 2020
Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu

* Task description paper of SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals 

  Access Paper or Ask Questions

Learn Faster and Forget Slower via Fast and Stable Task Adaptation

Jul 02, 2020
Farshid Varno, Lucas May Petry, Lisa Di Jorio, Stan Matwin

* 52 pages, 15 figures, 1 table 

  Access Paper or Ask Questions

Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction

Jun 13, 2020
Fateha Khanam Bappee, Lucas May Petry, Amilcar Soares, Stan Matwin


  Access Paper or Ask Questions

Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation

Jun 09, 2020
Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei

* Accepted at ICML2020. For code, see https://github.com/xiangdal/implicit_alignment 

  Access Paper or Ask Questions

Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning

Apr 07, 2020
Lucas May Petry, Amilcar Soares, Vania Bogorny, Bruno Brandoli, Stan Matwin

* This is an extended version of the article Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning, to be published by Springer in the proceedings of the 33rd Canadian Conference on Artificial Intelligence 

  Access Paper or Ask Questions

Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments

Mar 23, 2020
Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amilcar Soares, Bruno Brandoli Machado, Stan Matwin


  Access Paper or Ask Questions

Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation

Mar 23, 2020
Mohammad Etemad, Zahra Etemad, Amilcar Soares, Vania Bogorny, Stan Matwin, Luis Torgo


  Access Paper or Ask Questions

Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls

Feb 29, 2020
Oliver S. Kirsebom, Fabio Frazao, Yvan Simard, Nathalie Roy, Stan Matwin, Samuel Giard

* 11 pages, 9 figures, 2 tables, submitted to JASA on Dec 22, 2019, as part of a special issue on The Effects of Noise on Aquatic Life; resubmitted on Feb 29, 2020, upon minor revisions and improved SNR estimates 

  Access Paper or Ask Questions

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

Jan 27, 2020
Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi


  Access Paper or Ask Questions

Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples

Sep 12, 2019
Habibeh Naderi, Behrouz Haji Soleimani, Sheri Rempel, Stan Matwin, Rudolf Uher

* arXiv admin note: text overlap with arXiv:1811.09362 by other authors 

  Access Paper or Ask Questions

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring

Aug 14, 2019
Lucas May Petry, Amilcar Soares, Vania Bogorny, Stan Matwin

* Extended abstract submitted to the 2019 Montreal Artificial Intelligence Symposium (MAIS) 

  Access Paper or Ask Questions

Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation

Jul 30, 2019
Mark Thomas, Bruce Martin, Katie Kowarski, Briand Gaudet, Stan Matwin

* 16 pages, To appear in ECML-PKDD 2019 

  Access Paper or Ask Questions

Efficient Neural Task Adaptation by Maximum Entropy Initialization

May 25, 2019
Farshid Varno, Behrouz Haji Soleimani, Marzie Saghayi, Lisa Di Jorio, Stan Matwin


  Access Paper or Ask Questions

When a Tweet is Actually Sexist. A more Comprehensive Classification of Different Online Harassment Categories and The Challenges in NLP

Feb 27, 2019
Sima Sharifirad, Stan Matwin


  Access Paper or Ask Questions

Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection

Feb 13, 2019
Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin

* Accepted to ICASSP 2019 

  Access Paper or Ask Questions

2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements

Feb 04, 2019
Witold Dzwinel, Rafal Wcislo, Stan Matwin


  Access Paper or Ask Questions

How is Your Mood When Writing Sexist tweets? Detecting the Emotion Type and Intensity of Emotion Using Natural Language Processing Techniques

Jan 28, 2019
Sima Sharifirad, Borna Jafarpour, Stan Matwin


  Access Paper or Ask Questions

Improving the Interpretability of Deep Neural Networks with Knowledge Distillation

Dec 28, 2018
Xuan Liu, Xiaoguang Wang, Stan Matwin

* 2018 IEEE International Conference on Data Mining (ICDM), in press 

  Access Paper or Ask Questions

On feature selection and evaluation of transportation mode prediction strategies

Sep 05, 2018
Mohammad Etemad, Amilcar Soares Junior, Stan Matwin

* arXiv admin note: substantial text overlap with arXiv:1807.10876 

  Access Paper or Ask Questions

Interpretable Deep Convolutional Neural Networks via Meta-learning

Aug 19, 2018
Xuan Liu, Xiaoguang Wang, Stan Matwin

* 9 pages, 9 figures, 2018 International Joint Conference on Neural Networks, in press 

  Access Paper or Ask Questions

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification

Jun 03, 2018
Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin

* 13 pages, 4 figures, submitted to NIPS 

  Access Paper or Ask Questions

Predicting Crime Using Spatial Features

Mar 12, 2018
Fateha Khanam Bappee, Amilcar Soares Junior, Stan Matwin

* Paper accepted to 31st Canadian Conference in Artificial Intelligence, 2018 

  Access Paper or Ask Questions

One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data

Feb 25, 2018
Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova

* 12 pages, 1 figure, to appear in the Proceedings of the 31st Canadian Conference on Artificial Intelligence, 8-11 May, 2018, Toronto, Canada 

  Access Paper or Ask Questions

TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks

Aug 30, 2017
Xiang Jiang, Erico N de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin


  Access Paper or Ask Questions

Studying Positive Speech on Twitter

Feb 24, 2017
Marina Sokolova, Vera Sazonova, Kanyi Huang, Rudraneel Chakraboty, Stan Matwin

* 13 pages, 6 tables 

  Access Paper or Ask Questions